The result is that a BIG-IP Virtual Edition (VE) running on your hardware can now improve performance by offloading cryptography and compression functions to Intel QAT. This frees up resources on the CPUs and allows it to focus on processing data and responding to requests.

That means great customer experiences that start at the network layer because a fast, efficient network is the first step to delivering a fast, efficient application. Integration of Intel QAT is one of the ways we are enabling service providers and enterprises alike to accelerate their network and, in doing so, accelerate the application services and applications that depend on it.

This architectural axiom is often overlooked in today's application-centric and API-driven economy. We tend to hear 'ecosystem' and think of applications, not those that focus on the transformation of the network like that of Intel Network Builders.

Integration into both these ecosystems is important for application services today because application services continue to provide critical functions like acceleration, security, and scale for the applications powering the age of app capital.

Traditionally, those app services have been delivered by purpose-built infrastructure - such as an application delivery controller (ADC) - due to the capacity and performance required by customers. But increasingly app services are distributed across a widening set of insertion points that spans infrastructure from web and app server to intermediate proxies to cloud-based services. We see application services being delivered as plug-ins to application platforms, like NGINX. We see them delivered as-a-service atop a cloud infrastructure. And we see them delivered in container environments on-premises and off. The common thread is that a significant percentage of these application services are deployed on off-the-shelf hardware.

This shift does not eradicate the need for the boost to performance that comes from dedicated hardware. We see that reality in the gaming industry, where powerful GPUs boost graphic performance to give competitive players an edge. It's also showing itself in the burgeoning data-driven business trend, where specialized computing capabilities embedded in hardware are democratizing machine learning and enabling more and more businesses to take advantage of the technology.

It is not the use of hardware to improve capacity and performance that is changing, it's merely where that hardware lives.

In the past, that hardware has been embedded in network infrastructure itself. But that is changing thanks to industry leaders like Intel that are embedding acceleration technology right into their boards and chipsets.

That means that here at F5 we've been able to transfer our expertise with Intel QAT from our own hardware to any off-the-shelf system enabled with the technology. This results in increased performance for application services delivered by a VE perform and that ultimately translates to a better customer experience for users.

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